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Avis et commentaires pour d'étudiants pour Introduction to Applied Machine Learning par Alberta Machine Intelligence Institute

690 évaluations

À propos du cours

This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications. This is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....

Meilleurs avis


8 oct. 2020

I have been teaching Machine Learning for some time now. This course is really good and comprehensively presents the working of machine learning process in a nutshell. Very good introductory course.


28 oct. 2019

I have really got benefit from this course as a beginner to ML, it gives me the best understanding of ML. I m looking forward to getting into it more efficiently with more practices.

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151 - 158 sur 158 Avis pour Introduction to Applied Machine Learning

par Saksham G

3 avr. 2020

The course does not explain the concept in-depth at all. Also, the instructor is very fast.

par satish r d

16 juil. 2020

We got opportunity for Coursera to learn about the machine learning

par rafael l n

18 juin 2021

I think that the presentor should speak slower.

par sandeep d

21 août 2020

Content is not sufficient


7 juil. 2020

No coding envolved

par Junhui J

9 déc. 2020

too generic


20 mai 2020

This course is not useful.You must have include this course in week 1 of course 2

par Gonzalo F

14 juin 2020

It is much less than an overview.